baltimore {spData}

House sales prices, Baltimore, MD 1978

Description

House sales price and characteristics for a spatial hedonic regression, Baltimore, MD 1978. X,Y on Maryland grid, projection type unknown.

Usage

baltimore

Format

A data frame with 211 observations on the following 17 variables.

• STATION: a numeric vector

• PRICE: a numeric vector

• NROOM: a numeric vector

• DWELL: a numeric vector

• NBATH: a numeric vector

• PATIO: a numeric vector

• FIREPL: a numeric vector

• AC: a numeric vector

• BMENT: a numeric vector

• NSTOR: a numeric vector

• GAR: a numeric vector

• AGE: a numeric vector

• CITCOU: a numeric vector

• LOTSZ: a numeric vector

• SQFT: a numeric vector

• X: a numeric vector

• Y: a numeric vector

Source

Prepared by Luc Anselin. Original data made available by Robin Dubin, Weatherhead School of Management, Case Western Research University, Cleveland, OH. http://sal.agecon.uiuc.edu/datasets/baltimore.zip

References

Dubin, Robin A. (1992). Spatial autocorrelation and neighborhood quality. Regional Science and Urban Economics 22(3), 433-452.

Examples

data(baltimore)
str(baltimore)

if (requireNamespace("sf", quietly = TRUE)) {
  library(sf)
  baltimore_sf <- baltimore %>% st_as_sf(., coords = c("X","Y"))
  plot(baltimore_sf["PRICE"])
}